Find Spotify Mid-Level Software Engineer software engineering jobs

Music streaming platform building tools and services for music creators and fans

Spotify is seeking a Backend Engineer to join their Music Mission engineering organization, specifically the Crescendo squad within the Music Promotion and Spotify for Artists Growth product area. This role is crucial in building tools and services that enable music creators to create, promote, express, and monetize their work at scale.

The position involves working with a team focused on crafting communication channels with customers across the Spotify for Artists experience. You'll be responsible for developing backend services in Java, working with both relational and non-relational databases, and building platforms that empower product and marketing teams to reach artists effectively.

As a Backend Engineer, you'll be solving complex architectural challenges around access and authorization, while collaborating with cross-functional teams to develop scalable solutions. The role requires expertise in Java programming, database management, and cloud technologies, particularly Google's GCP platform.

The team operates in a fast-paced, innovative environment where you'll have opportunities for individual growth through hack time, reading groups, lectures, and various internal training courses. You'll be working remotely within the North American region, collaborating in the EST time zone.

The position offers a competitive salary range of $125,562 - $179,374 plus equity, along with comprehensive benefits including health insurance, parental leave, retirement plans, and generous paid time off. This is an excellent opportunity for experienced developers who are passionate about building tools that help artists succeed on one of the world's leading music platforms.

Backend Engineer position at Spotify focusing on building services and tools for the Music Mission organization, requiring Java expertise and database management skills.

Backend Engineer - Music

A global music and podcast streaming platform that provides personalized listening experiences to millions of users.

Join Spotify's Personalization team, the innovative force behind beloved features like Blend and Discover Weekly. As a Machine Learning Engineer, you'll be part of a team that shapes how millions of users discover and enjoy music and podcasts. You'll work on developing and implementing ML systems that connect new and emerging creators with their ideal audience through sophisticated recommendation algorithms. The role offers a unique blend of technical challenges and creative problem-solving, working with cutting-edge ML technologies and large-scale data systems. You'll collaborate with research scientists, engineers, and product managers in an agile environment, focusing on building and optimizing recommendation systems that power personalized user experiences. The position offers hybrid work flexibility while being based in a vibrant European tech hub. This is an opportunity to impact how millions of users interact with content daily, working with one of the world's leading music streaming platforms. The role requires strong ML expertise, practical experience with large-scale systems, and a passion for creating data-driven solutions that enhance user experiences. You'll be part of a team that values innovation, collaboration, and continuous learning, working on projects that directly influence how people discover and enjoy entertainment content.

Mid-level Machine Learning Engineer position at Spotify, focusing on personalization and recommendation systems, offering hybrid work in London.

Machine Learning Engineer - Personalization

A global music and audio streaming platform delivering personalized content to millions of users worldwide.

Spotify's Experience team is seeking a Machine Learning Engineer to join their Content Understanding teams, focusing on enriching the lives of millions of users worldwide through advanced ML solutions. The role involves working on cutting-edge projects like audio fingerprinting for podcast music recognition, video/image tagging for moderation and recommendations, audiobook author attribution using graph ML, and content categorization for royalty calculations.

The position offers an opportunity to work with a diverse team of professionals averaging 11 years of music industry experience, including product specialists, ML engineers, data engineers, and backend developers. You'll be at the forefront of expanding Spotify's AI capabilities, using world-class engineering and machine learning techniques on real-world big data.

The role combines hands-on ML development with practical implementation at scale, serving hundreds of millions of active users. You'll be involved in everything from prototyping new approaches to production deployment, working in a collaborative, agile environment alongside design, data science, product management, and engineering teams.

Key projects include developing audio fingerprinting systems for podcast music recognition (ensuring proper royalty distribution), implementing video and image tagging for content moderation, creating graph ML approaches for audiobook author attribution, and building classification systems for catalog content management.

The position offers competitive compensation, comprehensive benefits, and the opportunity to work with a global leader in audio streaming technology. Based in New York City, you'll be part of a team that's pushing the boundaries of AI-based machine technology to enhance the Spotify experience for users worldwide.

Machine Learning Engineer role at Spotify focusing on content understanding, audio fingerprinting, and ML systems at scale.

Machine Learning Engineer - Content Understanding

A global audio streaming platform revolutionizing the audiobook industry through their Premium model.

Spotify is revolutionizing the audiobook industry through their innovative Audiobooks in Premium model, seeking a Backend Engineer to join their dynamic team. This role focuses on building and optimizing the systems that power Spotify's audiobook content delivery platform. You'll be instrumental in designing scalable architectures, ensuring seamless content integration, and maintaining high-performance systems that serve millions of users.

The position offers an exciting opportunity to work with cutting-edge technologies while solving complex challenges in content delivery and metadata management. You'll be part of a team that's building the future of audio content consumption, working with modern tech stack including Java, Python, and Node.js, along with cloud platforms and containerization tools.

As a Backend Engineer, you'll take ownership of critical systems, contribute to technical documentation, and collaborate with cross-functional teams to deliver innovative features. The role combines technical expertise with strategic thinking, as you'll be responsible for both immediate system optimization and long-term scalability planning.

Spotify offers a competitive compensation package, including equity, comprehensive health benefits, and generous paid time off. The company embraces a distributed workforce model, providing flexibility in work location and schedule while maintaining collaboration through Eastern Standard time zone operations. This is an excellent opportunity for engineers who are passionate about building high-quality systems at scale and want to be part of transforming the audiobook industry.

Backend Engineer position at Spotify focused on building and optimizing audiobook content delivery systems, offering competitive salary and remote work flexibility.

Backend Engineer, Audiobooks

Global music and audio streaming platform transforming the digital music industry.

Spotify is seeking a Backend Engineer to join their Subscriptions R&D team within the Commerce Platform. This role focuses on developing core capabilities managing multiple backend services and data sets that power Invoicing, Receipts, Payment Orchestration, and purchase flows end-to-end. The position offers an excellent opportunity for both early-career engineers and experienced professionals looking for new challenges.

The role involves working with complex systems at high scale, implementing changes that impact Spotify's commerce ecosystem. You'll be part of a team responsible for developing services and data pipelines aimed at improving capabilities and providing a resilient, high-performing commerce platform. The position requires expertise in Python or Java, familiarity with cloud platforms, and database technologies.

Working in a collaborative environment, you'll interact with teams across Spotify, contributing to the platform's evolution while gaining exposure to backend, data, and ML-based systems. The role demands strong problem-solving abilities, excellent communication skills, and a dedication to teamwork. Experience in e-commerce or financial engineering domains is valuable but not mandatory.

Based in either London or Stockholm, you'll be part of Spotify's innovative engineering culture, working on solutions that impact millions of users worldwide. This position offers the perfect blend of technical challenges and professional growth opportunities, allowing you to contribute to one of the world's leading music and audio streaming platforms while developing your expertise in complex backend systems and commerce technologies.

Backend Engineer position at Spotify focusing on subscriptions and commerce platform development, offering hybrid work in London or Stockholm.

Backend Engineer - Subscriptions

A global music and audio streaming platform providing digital music, podcast and video services.

Join Spotify's Observability and Reliability Infrastructure team as a Backend Engineer II, where you'll be instrumental in building and maintaining their large-scale, distributed systems. This role focuses on providing coherent observability and reliability platforms for Spotify's microservice infrastructure, enabling teams to confidently operate their services.

As a Backend Engineer II, you'll work in an environment that values intellectual curiosity and problem-solving, with the support and mentorship needed to learn and grow. You'll be responsible for architecting, developing, and operating Java services, while also being a technical leader within Spotify's backend developer community.

The position offers exciting challenges in scaling and optimizing systems through automation, working with modern technologies like Kubernetes, Go, and various cloud services. You'll be part of a team that values sustainable incident response and blameless postmortems, contributing to Spotify's mission of delivering media worldwide.

Located in Toronto, this hybrid role provides an opportunity to work with a global team while maintaining work-life balance. You'll participate in regular hack days and bi-annual hack weeks, allowing you to explore innovative solutions and contribute to Spotify's technical evolution.

The ideal candidate combines strong technical expertise in distributed systems, Java development, and cloud services with excellent problem-solving and communication skills. If you're passionate about building reliable, scalable systems and want to impact how millions of users experience music and audio content, this role offers an exciting opportunity to shape the future of Spotify's infrastructure.

Backend Engineer II position at Spotify focusing on building and maintaining observability and reliability infrastructure for large-scale distributed systems.

Backend Engineer II - Platform

Spotify is a leading music and audio streaming platform.

We are looking for a Backend Engineer to join our Data Protection team and be a key player in ensuring that data at Spotify is appropriately protected. You will contribute to building a scalable data protection platform that ensures data across Spotify is appropriately protected, managed, and deleted when no longer needed. This is a highly impactful role where you'll develop systems that empower engineers across the company to efficiently deliver secure, reliable, and compliant solutions.

You'll design, build, and optimise backend services and data pipelines that support data retention, access, and deletion requirements, ensuring Spotify meets evolving privacy and regulatory standards. Collaborate with cross-functional teams to tackle challenging problems and implement solutions that scale to meet the needs of the entire organisation.

What You'll Do:
- Design, develop, and maintain backend services and data pipelines that enable the safe use of data across the company.
- Collaborate closely with globally distributed teams to implement solutions that scale to handle millions of requests per second.
- Utilise technologies such as Java, Scala, microservices, Google Cloud Platform (GCP), Dataflow, and Spanner.
- Participate in the operational responsibility for services, including being part of an on-call rotation for critical service at Spotify.
- Drive automation efforts to improve system efficiency, reliability, and scalability.
- Drive the optimization, testing, and tooling efforts to improve the quality of data and systems.
- Contribute to a culture of continuous learning, experimentation, and adopting new technologies.

Who You Are:
- You have at least two years professional experience working in a product-driven environment building production software.
- You know how to write distributed, high-volume services and have strong programming skills in Java and/or Scala.
- Experience with cloud platforms, particularly Google Cloud Platform (GCP), including services like Dataflow, GCS, BigQuery and Spanner.
- Ability to work optimally in a remote-first, distributed team environment.
- A track record of designing and driving small to medium-scale automation projects autonomously.

Where You'll Be:
- For this role you will be in London or Madrid

Backend Engineer for Spotify's Data Protection team, building scalable platforms to ensure data security and compliance.

Backend Engineer - Platform

Spotify is the world's most popular audio streaming subscription service, transforming music listening since 2008.

Spotify, the world's leading audio streaming platform, is seeking a Backend Engineer to join their Advertising Product & Technology team. This role offers an exciting opportunity to work on scaling Spotify's Free Product and Podcast Monetization Mission, impacting hundreds of millions of fans and thousands of advertisers.

As a Backend Engineer, you'll be at the forefront of building a next-generation advertising platform, working on product features, advertiser publishing tools, and insights and reporting functionalities. You'll collaborate with cross-functional teams to develop complex technical solutions for podcast and ad services technology platforms.

Key responsibilities include designing scalable backend systems and APIs, architecting and developing Java services for millions of users, and working with data processing frameworks like Scio, Storm, Spark, and Google Cloud Platform. You'll be a technical leader in an agile team, contributing to Spotify's backend developer community and driving architecture across the company.

The ideal candidate has 4+ years of experience as a Backend Engineer, proficiency in Java, and a track record of working with stakeholders to develop APIs and systems. You should have experience with distributed, high-volume services and an interest in big data processing. A deep understanding of system design, data structures, and algorithms is essential, along with a commitment to shipping high-quality code.

Spotify offers a competitive salary range of $122,716 - $175,308, plus equity. Benefits include health insurance, six months paid parental leave, a 401(k) plan, monthly meal allowance, and generous paid time off. The role is remote-friendly within the North America region, operating in the Eastern Standard time zone.

Join Spotify and be part of a diverse, inclusive workplace that values creativity and innovation. Help revolutionize the way the world listens to music and podcasts while working with cutting-edge technologies in a dynamic, fast-paced environment.

Spotify seeks a Backend Engineer for its Advertising team to build scalable systems impacting millions of users. 4+ years experience required.

Spotify Mid-Level Software Engineer Software Engineering Jobs

Find Spotify Mid-Level Software Engineer software engineering jobs